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2018 | OriginalPaper | Chapter

Detection of Cardiac Arrhythmias Through Singular Spectrum Analysis of a Time-Distorted EGM Signal

Authors : Jesús Fernández, Julián Velasco, Luciano Sánchez

Published in: International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Publisher: Springer International Publishing

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Abstract

A new method for detecting cardiac arrhythmias is proposed. The differences between the instantaneous frequencies of signals recorded in atrium and ventricle are computed by means of a non-linear spectral transform. This transform dilates or contracts the time scale until the ventricle signal has a flat frequency spectrum in time. Singular Spectrum Analysis is used to isolate its oscillatory components. The same temporal dilations and contractions are applied to the atrium signal, that is subsequently projected onto the oscillatory components found in the ventricle signal. It is shown that the frequency spectrum of the processed atrium signal becomes uneven only at arrhythmia episodes.

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Metadata
Title
Detection of Cardiac Arrhythmias Through Singular Spectrum Analysis of a Time-Distorted EGM Signal
Authors
Jesús Fernández
Julián Velasco
Luciano Sánchez
Copyright Year
2018
Book
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Print ISBN: 978-3-319-67179-6

Electronic ISBN: 978-3-319-67180-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67180-2_13

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